Matrix, the pioneer in low-latency AI inference for data centers, today announced its d-Matrix Corsair™ inference accelerator ...
Dragonfly comes with impressive numbers as it chooses to skip HBM for its more cost-effective and power-efficient proprietary ...
The companies attributed this speed to a deep software-hardware co-development process that actively used OpenAI’s own models ...
Power modules for data centers are incorporating AI inference for applications such as agentic AI, response generation with large language models (LLMs), and predictive analytics in finance and ...
In June 2026, OpenAI and Broadcom announced Jalapeño, OpenAI’s first custom large language model inference accelerator, ...
Artificial intelligence computing infrastructure startup d-Matrix Corp. today unveiled a custom network card named JetStream designed from the ground up to support high-speed, ultra-low-latency AI ...
Artificial intelligence is rapidly shifting from the cloud to the devices we use every day. The first wave of generative AI ...
Morning Overview on MSN
OpenAI and Broadcom detailed a custom inference chip built to cut AI’s soaring costs
OpenAI partnered with Broadcom in October 2025 to design a custom inference chip aimed at reducing the growing expense of ...
AMD EPYC is poised for the AI CPU supercycle, powering inference and agentic AI with strong TCO and efficiency—alongside Instinct & Helios. Click for this update.
As AI-accelerated workloads proliferate across edge environments—from smart cities to retail and industrial surveillance—choosing the right inference accelerator has become a mission-critical decision ...
The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...
The AI arms race has entered a new phase. For the past three years, the biggest technology companies have competed by buying ...
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